Abstract
This study aimed to identify the relationship between self-management abilities, well-being and depression. Our study was
conducted among older adults (>65 years of age) who were vulnerable to loss of function after hospital discharge. Three months
after hospital admission, 296/456 patients (65 % response rate) were interviewed in their homes. The 30-item Self-Management
Ability Scale was used to measure six self-management abilities: taking initiative, investing in resources for long-term benefits,
taking care of a variety of resources, taking care of resource multifunctionality, being self-efficacious and having a positive
frame of mind. Well-being was measured with the Social Production Function (SPF) Instrument for the Level of Well-being (SPF-IL)
and Cantril’s ladder. The Geriatric Depression Scale was used to assess depression. Correlation analyses showed that all self-management
abilities were strong indicators for well-being (p < 0.001 for all). Regression analyses revealed that investing in resources for long-term benefits, taking care of a variety
of resources, taking care of resource multifunctionality and being self-efficacious were associated with well-being. While
no significant relationship was found between well-being and having a positive frame of mind or taking initiative, regression
analyses revealed that these self-management abilities were related to depression. Investing in resources for long-term benefits
and taking care of a variety of resources were significantly related to depression. This research showed that self-management
abilities are related to well-being and depression among older adults. In addition, this study identified key self-management
abilities for older adults who had recently been discharged from a hospital.
conducted among older adults (>65 years of age) who were vulnerable to loss of function after hospital discharge. Three months
after hospital admission, 296/456 patients (65 % response rate) were interviewed in their homes. The 30-item Self-Management
Ability Scale was used to measure six self-management abilities: taking initiative, investing in resources for long-term benefits,
taking care of a variety of resources, taking care of resource multifunctionality, being self-efficacious and having a positive
frame of mind. Well-being was measured with the Social Production Function (SPF) Instrument for the Level of Well-being (SPF-IL)
and Cantril’s ladder. The Geriatric Depression Scale was used to assess depression. Correlation analyses showed that all self-management
abilities were strong indicators for well-being (p < 0.001 for all). Regression analyses revealed that investing in resources for long-term benefits, taking care of a variety
of resources, taking care of resource multifunctionality and being self-efficacious were associated with well-being. While
no significant relationship was found between well-being and having a positive frame of mind or taking initiative, regression
analyses revealed that these self-management abilities were related to depression. Investing in resources for long-term benefits
and taking care of a variety of resources were significantly related to depression. This research showed that self-management
abilities are related to well-being and depression among older adults. In addition, this study identified key self-management
abilities for older adults who had recently been discharged from a hospital.
- Content Type Journal Article
- Category Original Investigation
- Pages 1-8
- DOI 10.1007/s10433-012-0237-5
- Authors
- J. M. Cramm, Institute of Health Policy & Management (iBMG), Erasmus University, Burgemeester Oudlaan 50, 3000 DR Rotterdam, The Netherlands
- J. M. Hartgerink, Institute of Health Policy & Management (iBMG), Erasmus University, Burgemeester Oudlaan 50, 3000 DR Rotterdam, The Netherlands
- P. L. de Vreede, Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
- T. J. Bakker, ARGOS Zorggroep, Schiedam, The Netherlands
- E. W. Steyerberg, Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
- J. P. Mackenbach, Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
- A. P. Nieboer, Institute of Health Policy & Management (iBMG), Erasmus University, Burgemeester Oudlaan 50, 3000 DR Rotterdam, The Netherlands
- Journal European Journal of Ageing
- Online ISSN 1613-9380
- Print ISSN 1613-9372